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2020

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Survey on the Analysis of User Interactions and Visualization Provenance K. Xu, A. Ottley, C. Walchshofer, M. Streit, R. Chang, and J. Wenskovitch. Survey on the Analysis of User Interactions and Visualization Provenance. Computer Graphics Forum, 39(3):757–783, 2020.doi: 10.1111/cgf.14035

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Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization I. Kurmi, D. C. Schedl and O. Bimber, "Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2020.2987471.

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Airborne Optical Sectioning for Nesting Observation Schedl, D. C., Kurmi, I., and Bimber, O., Airborne Optical Sectioning for Nesting Observation. Nature Sci. Rep. 10, 7254; 2020.

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InstanceFlow: Visualizing the Evolution of
Classifier Confusion on the Instance Level Pühringer, M., Hinterreiter, A., Streit, M.
(under review)

arXiv , opens an external URL
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Projective Latent Interventions for Understanding and Fine-Tuning Classifiers Hinterreiter, A., Streit M., Kainz, B. In: Cardoso J. et al. (eds), Lecture Notes in Computer Science, vol 12446. Interpretable and Annotation-Efficient Learning for Medical Image Computing (pp. 13-22). Springer, 2020. DOI: 10.1007/978-3-030-61166-8_2.

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Exploring Visual Patterns in Projected Human and
Machine Decision-Making Paths Hinterreiter, A., Steinparz, C., Schöfl, M., Stitz, H., Streit M.
Special Issue in ACM TiiS (to appear)

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